Daniel J. Tward
Impact in
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- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Advanced Neuroimaging Techniques and Applications
- Radiation top 5%
- Advanced Radiotherapy Techniques
Papers in
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- Radiation Dose and Imaging 19
- Advanced Neuroimaging Techniques and Applications 17
- Medical Imaging Techniques and Applications 16
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- Cell Image Analysis Techniques 6
- Co-authors
- Jeffrey H. SiewerdsenMichael I. MillerJ. Tilak RatnanatherGrace J. GangJunghoon LeeW. Paul SegarsLaurent YounèsJ. H. Siewerdsen
- Journals
- Medical Physics (13 papers)NeuroImage Clinical (3 papers)Frontiers in Neuroscience (3 papers)Annual Review of Neuroscience (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel J. Tward
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 904
- Radiation 140
- Biomedical Engineering 596
- Biophysics 68
- Pulmonary and Respiratory Medicine 337
Countries citing papers authored by Daniel J. Tward
This map shows the geographic impact of Daniel J. Tward's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel J. Tward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Tward more than expected).
Fields of papers citing papers by Daniel J. Tward
This network shows the impact of papers produced by Daniel J. Tward. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Tward. The network helps show where Daniel J. Tward may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Tward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 40 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 34 | |
| 13 | 2017 | 0 | |
| 14 | 2016 | 49 | |
| 15 | 2013 | 13 | |
| 16 | 2012 | 36 | |
| 17 | 2012 | 46 | |
| 18 | 2010 | 106 | |
| 19 | 2007 | 14 | |
| 20 | 2007 | 25 |
About Daniel J. Tward
Daniel J. Tward is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics, Computer Vision and Pattern Recognition, Geometry and Topology and Psychiatry and Mental health, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (18 papers), Advanced Neuroimaging Techniques and Applications (17 papers), Medical Imaging Techniques and Applications (16 papers), Medical Image Segmentation Techniques (13 papers), Digital Radiography and Breast Imaging (9 papers), Single-cell and spatial transcriptomics (6 papers) and Cell Image Analysis Techniques (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (904 citations), Radiation (140 citations), Biomedical Engineering (596 citations), Biophysics (68 citations) and Pulmonary and Respiratory Medicine (337 citations). Daniel J. Tward has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jeffrey H. Siewerdsen, Michael I. Miller, J. Tilak Ratnanather, Grace J. Gang, Junghoon Lee, W. Paul Segars, Laurent Younès, J. H. Siewerdsen, Ehsan Samei and Timothy Brown. Their work appears in journals such as Medical Physics, NeuroImage Clinical, Frontiers in Neuroscience, Annual Review of Neuroscience and Frontiers in Psychiatry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.